NVIDIA A2 vs NVIDIA RTX 4000 Ada — GPU Comparison (Jul 2026)
NVIDIA A2 (16GB GDDR6, 18 TFLOPS FP16, Ampere) vs NVIDIA RTX 4000 Ada (20GB GDDR6, 107 TFLOPS FP16, Ada Lovelace). Cloud pricing: NVIDIA A2 from $0.22/hr, NVIDIA RTX 4000 Ada from $0.76/hr. Compare specs, VRAM, performance, and pricing across 2 cloud providers to find the best GPU for your AI workload.
Bottom Line: NVIDIA A2 vs NVIDIA RTX 4000 Ada
NVIDIA RTX 4000 Ada comes out ahead overall, leading in 5 of 7 compared categories.
Where NVIDIA A2 leads
- Cheapest On-Demand ($0.22/hr vs $0.76/hr)
- TDP (60W vs 130W)
Where NVIDIA RTX 4000 Ada leads
- FP16 (107 TFLOPS vs 18 TFLOPS)
- VRAM (20 GB vs 16 GB)
- Memory Bandwidth (360 GB/s vs 200 GB/s)
- FP32 (26.7 TFLOPS vs 4.5 TFLOPS)
- Release Year (2023 vs 2021)
Choose NVIDIA A2 for Edge inference, entry-level AI. Choose NVIDIA RTX 4000 Ada for Entry professional AI, CAD, visualization.
Frequently Asked Questions
Is NVIDIA A2 or NVIDIA RTX 4000 Ada better?
Which has a better FP16, NVIDIA A2 or NVIDIA RTX 4000 Ada?
Which has a better VRAM, NVIDIA A2 or NVIDIA RTX 4000 Ada?
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NVIDIA A2
16GB GDDR6 · Ampere
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NVIDIA RTX 4000 Ada
20GB GDDR6 · Ada Lovelace
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|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Ampere | Ada Lovelace | |
| VRAM | 16 GB GDDR6 | 20 GB GDDR6 | |
| Memory Bandwidth | 200 GB/s | 360 GB/s | |
| FP16 (Tensor) | 18.0 TFLOPS | 107.0 TFLOPS | |
| FP32 | 4.5 TFLOPS | 26.7 TFLOPS | |
| TDP | 60W | 130W | |
| Release Year | 2021 | 2023 | |
| Segment | Data center | Professional | |
| Best For | Edge inference entry-level AI | Entry professional AI CAD visualization | |
| Cloud Pricing | |||
| Cheapest On-Demand | $0.22/hr | $0.76/hr | |
| Cheapest Spot | — | — | |
| Providers | 1 | 1 | |
| Provider Pricing (On-Demand) | |||
|
$0.22/hr | N/A | |
|
N/A | $0.76/hr | |
NVIDIA A2
NVIDIA RTX 4000 Ada
Related GPU Comparisons
Top Providers for NVIDIA A2 and NVIDIA RTX 4000 Ada
These 2 providers offer both NVIDIA A2 and NVIDIA RTX 4000 Ada. Full head-to-head comparison of GPU models, pricing, infrastructure, and developer tools.
Cherry Servers vs DigitalOcean - GPU Provider Comparison (July 2026)
Head-to-head comparison of Cherry Servers and DigitalOcean. Compare GPU models, hourly pricing, billing granularity, spot instances, VRAM, infrastructure, developer tools, Kubernetes support, and compliance before choosing a provider. Data refreshed July 2026.
Bottom Line: Cherry Servers vs DigitalOcean
DigitalOcean comes out ahead overall, leading in 5 of 8 compared categories.
Where Cherry Servers leads
- Starting Price ($/hr) ($0.16/hr vs $0.76/hr)
- Uptime SLA (99.97% vs 99%)
- Regions (6 vs 5)
Where DigitalOcean leads
- Trustpilot Rating (4.6 vs 4.4)
- Max VRAM (GB) (192 vs 80)
- Max GPUs/Instance (8 vs 2)
- Frameworks (7 vs 3)
- Jupyter Notebooks
Choose Cherry Servers for Starting Price ($/hr). Choose DigitalOcean for Trustpilot Rating.
Frequently Asked Questions
Is Cherry Servers or DigitalOcean better?
Which has a better Trustpilot Rating, Cherry Servers or DigitalOcean?
Which has a better Starting Price ($/hr), Cherry Servers or DigitalOcean?
|
Cherry Servers
Bare metal GPU servers with 24 years of hosting experience and full hardware-level control.
|
DigitalOcean
Simple, scalable GPU cloud for AI/ML
|
|
|---|---|---|
| Overview | ||
| Trustpilot Rating | 4.4 | 4.6 |
| Headquarters | Lithuania | United States |
| Provider Type | N/A | N/A |
| Best For | AI training inference fine-tuning rendering research HPC generative AI deep learning | AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research |
| GPU Hardware | ||
| GPU Models | A100 A40 A16 A10 A2 Tesla P4 | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 |
| Max VRAM (GB) | 80 | 192 |
| Max GPUs/Instance | 2 | 8 |
| Interconnect | PCIe | NVLink |
| Pricing | ||
| Starting Price ($/hr) | $0.16/hr | $0.76/hr |
| Billing Granularity | Per-hour | Per-second |
| Spot/Preemptible | No | No |
| Reserved Discounts | N/A | N/A |
| Free Credits | None | $200 free credit for 60 days |
| Egress Fees | N/A | None (included in plan) |
| Storage | NVMe SSD, Elastic Block Storage ($0.071/GB/mo) | 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo |
| Infrastructure | ||
| Regions | Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) |
| Uptime SLA | 99.97% | 99% |
| Developer Experience | ||
| Frameworks | PyTorch TensorFlow CUDA (bare metal — full stack control) | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face |
| Docker Support | Yes | Yes |
| SSH Access | Yes | Yes |
| Jupyter Notebooks | No | Yes |
| API / CLI | Yes | Yes |
| Setup Time | Minutes | Minutes |
| Kubernetes Support | Yes | Yes |
| Business Terms | ||
| Min Commitment | None | None |
| Compliance | ISO 27001 ISO 20000-1 GDPR PCI DSS | SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 |
Cherry Servers
DigitalOcean
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